ID 原文 译文
1923 因此，软件定义 WSN 规则更新过程中节点行为可能违背网络属性一致性。 Therefore, nodes behavior during rule updating in soft-ware-defined WSN may violate network attribute consistency.
1924 针对此，提出每包前向一致性概念，并证明其可保持所有网络属性的更新一致性。 Therefore, this paper proposes the concept of per-package for-warding consistency and proves that it can maintain the update consistency of all attributes.
1925 在此基础上，通过引入缓存节点与缓存规则简化规则依赖关系，提出一种规则前向一致更新算法，在满足每包前向一致性的同时，支持规则快速并行更新。 On this basis, a rule forwardingconsistent update algorithm is proposed by introducing cache nodes and rules to simplify dependencies. The algorithm sup-ports fast parallel updates while satisfying the per-package forwarding consistency.
1926 实验结果表明，算法在规则开销、更新时间和通信开销等关键性能指标上具有较为明显的优势。 The experimental results show that the al-gorithm has obvious advantages in the rule cost, update time and communication overhead.
1927 由于盗版 Android 应用(Android Application，简称 APP)通常保持着与正版 APP 相似的用户体验，因此本文提出一种基于资源签名的 APP 相似性快速检测方法。 Since pirated Android applications (APPs for short)usually maintain a similar user experience to original APPs, a fast APP similarity detection approach based on resource signature has been proposed.
1928 该方法将 APP 的资源签名视为字符串集合，利用计算任意一对 APP 资源签名集合的 Jaccard 系数判断两者的相似性。 In order to determine the sim-ilarity of a pair of APP, the approach calculates the Jaccard coefficient of resource signature sets of them because a set of re-source signatures can be treated as a set of strings.
1929 为了避免遍历全部的 APP 对，该方法将 MinHash 和 LSH(Locality Sensitive Hashing)算法的思路引入其中，通过从 APP 集合中挑选候选对并对候选对进行检验的方式获得最终的检测结果。 With the help of the MinHash and LSH (Locality Sensitive Hashing)al-gorithm, it can avoid the traversal of all APP pairs by selecting candidate pairs from the APP set and verifying them at last.
1930 由于挑选候选对的方式将大量相似性较低的 APP 对排除在外，因此该方法可以明显地提高 APP 相似性的检测速度。 Because the procedure of selecting candidate pairs excludes a large number of APP pairs with lower similarity, this approachcan significantly improve the detection speed of APP similarity.
1931 实验结果表明，该方法的检测速度比现有方法 FSquaDRA 提高了大约 30 倍，而检测结果与 FSquaDRA 几乎完全相同。 The experimental results show that the detection speed of this approach is about 30 times higher than the existing approach FSquaDRA while the detection result is almost identical.
1932 针对量测随机延迟下带厚尾过程噪声和量测噪声的非线性状态估计问题，本文通过充分考虑量测一步随机延迟特性及过程噪声和量测噪声的“厚尾”特性，推导了一种新的鲁棒 Student's t 滤波器框架， Aiming at the nonlinear state estimation problem with heavy-tailed process measurement noise and random-ly delayed measurements, this paper deduces a new robust student＇s t filter framework by taking into one-step random delay characteristics and heavy-tailed characteristics of process noise and measurement noise account fully.